gorica: Evaluation of Inequality Constrained Hypotheses Using GORICA

Implements the generalized order-restricted information criterion approximation (GORICA), an AIC-like information criterion that can be utilized to evaluate informative hypotheses specifying directional relationships between model parameters in terms of (in)equality constraints (see Altinisik, Van Lissa, Hoijtink, Oldehinkel, & Kuiper, 2021), <doi:10.31234/osf.io/t3c8g>. The GORICA is applicable not only to normal linear models, but also to generalized linear models (GLMs), generalized linear mixed models (GLMMs), structural equation models (SEMs), and contingency tables. For contingency tables, restrictions on cell probabilities can be non-linear.

Version: 0.1.4
Depends: R (≥ 3.6), bain (≥ 0.2.8), stats
Imports: methods, MASS, mvtnorm, quadprog, lme4, lavaan, limSolve
Suggests: testthat, FRACTION, matrixcalc
Published: 2023-10-11
Author: Rebecca M. Kuiper [aut], Altinisik Yasin [aut], Vanbrabant Leonard [ctb], Caspar J. van Lissa [aut, cre]
Maintainer: Caspar J. van Lissa <c.j.vanlissa at tilburguniversity.edu>
License: GPL (≥ 3)
URL: https://informative-hypotheses.sites.uu.nl/software/goric/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: gorica results

Documentation:

Reference manual: gorica.pdf

Downloads:

Package source: gorica_0.1.4.tar.gz
Windows binaries: r-devel: gorica_0.1.4.zip, r-release: gorica_0.1.4.zip, r-oldrel: gorica_0.1.4.zip
macOS binaries: r-release (arm64): gorica_0.1.4.tgz, r-oldrel (arm64): gorica_0.1.4.tgz, r-release (x86_64): gorica_0.1.4.tgz
Old sources: gorica archive

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